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D-Optimal design and multi-objective optimization for green extraction conditions developed with ultrasonic probe for oleuropein
Journal of Applied Research on Medicinal and Aromatic Plants ( IF 3.8 ) Pub Date : 2020-11-04 , DOI: 10.1016/j.jarmap.2020.100279
Nilüfer Vural , Özge Algan Cavuldak , M. Abdülkadir Akay

Ultrasonic probe extraction of phenolic compounds from olive leaves was modelled and optimized by using soft computing methods. The effects of amplitude, irradiation time, solvent (MeOH/EtOH) concentration, probe position and duty cycle on total phenolic content (TPC), oleuropein content (OLEc) and total antioxidant activity (TAA) of olive leaf extracts were investigated in multi-objective perspective. The predicted quadratic linear models were obtained by using the least square (LS) approach. They were optimized through the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Pareto sets were obtained. A compromise solution was chosen among many non-dominated solutions of experimental conditions by using multi-criteria decision making (MCDM) methods. The fuzzy c-means clustering algorithm (FCM) method was used to select the compromise solution. The optimum conditions of MeOH/H2O ultrasonic probe extraction were determined as; amplitude 81.91 %, irradiation time 14.22 min, MeOH concentration 76.97 %, probe position 3.89 cm, duty cycle 0.93 % and the experimental results obtained under these conditions were 7.19 ± 0.44 mg OLE/g dw, 5.95 ± 0.19 mg/g dw, 88.36 ± 2.47 % for TPC, OLEc and TAA, respectively. For EtOH/H2O ultrasonic probe extraction; the observed results were 5.24 ± 0.08 mg OLE/g dw, 2.22 ± 0.08 mg/g dw, 80.16 ± 1.25 % for TPC, OLEc and TAA, respectively at the optimum conditions of amplitude 79.16 %, irradiation time 12.90 min, EtOH concentration 73.40 %, probe position 1.59 cm, duty cycle 0.97 %.



中文翻译:

用橄榄苦苷超声探头开发绿色提取条件的D优化设计和多目标优化

使用软计算方法对超声波探针从橄榄叶中提取酚类化合物进行建模和优化。在多个容器中研究了振幅,辐照时间,溶剂(MeOH / EtOH)浓度,探针位置和占空比对橄榄叶提取物的总酚含量(TPC),橄榄苦苷含量(OLEc)和总抗氧化活性(TAA)的影响。客观的观点。通过使用最小二乘(LS)方法获得了预测的二次线性模型。通过非支配排序遗传算法-II(NSGA-II)对它们进行了优化,并获得了帕累托集。通过使用多标准决策(MCDM)方法,在许多非支配性的实验条件解决方案中选择了折衷解决方案。采用模糊c均值聚类算法(FCM)选择折衷方案。MeOH / H的最佳条件确定为2 O超声探头提取;振幅81.91%,照射时间14.22分钟,MeOH浓度76.97%,探针位置3.89 cm,占空比0.93%,在这些条件下获得的实验结果为7.19±0.44 mg OLE / g dw,5.95±0.19 mg / g dw,88.36 TPC,OLEc和TAA分别为±2.47%。用于EtOH / H 2 O超声探头提取;在最佳振幅为79.16%,辐照时间12.90分钟,EtOH浓度为73.40的最佳条件下,TPC,OLEc和TAA的观察结果分别为5.24±0.08 mg OLE / g dw,2.22±0.08 mg / g dw,80.16±1.25% %,探头位置1.59 cm,占空比0.97%。

更新日期:2021-01-12
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